Genetic Risk Factors in Autoimmune Thyroid Diseases: An Umbrella Review of Meta-Analyses
by Anu Shibi Anilkumar·Updated 1mo ago
131.2 KB2files
Available on 1 platform
Sign in to view source links and access this dataset
Description
An umbrella review by Anu Shibi Anilkumar, published on figshare in 2026, synthesizes and critically assesses meta-analyses on genetic polymorphisms associated with autoimmune thyroid diseases (AITDs) like Graves' disease and Hashimoto's thyroiditis. The work, a 131.2 KB DOCX file, evaluates evidence from meta-analyses published between 2005 and 2025 using frameworks like AMSTAR-2, GRADE, and the Venice criteria. It provides a hierarchical framework for interpreting genetic susceptibility, prioritizing robust loci for further research.
Use Cases
Prioritizing genetic loci for functional validation studies based on evidence certainty assessments.
Investigating ethnicity-dependent genetic effects based on described heterogeneity in associations for variants like CTLA-4 and PTPN22.
Assessing the credibility of genetic association studies in AITDs using the integrated evidence-grading frameworks mentioned.
Identifying research gaps for unstable or low-certainty evidence loci, such as FOXP3 or cytokine genes, to guide future meta-analyses.
Strengths
Applies multiple standard evidence-grading frameworks (AMSTAR-2, GRADE, Venice criteria) for critical assessment.
Covers meta-analyses published over a 20-year time range (2005-2025).
Provides specific findings for loci like TSHR, supported by described factors like large sample sizes and low heterogeneity.
Limitations
The dataset is a 131.2 KB DOCX document, indicating a limited scope focused on review text rather than primary data.
Row count and column-level documentation are unknown, limiting suitability assessment for computational analysis.
Data may reflect publication bias inherent to the meta-analyses included in the review.
Provenance
Source
figshare
Collection Method
Umbrella review synthesizing published meta-analyses from databases.